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Welcome to Apache Flume — Apache Flume
Apache Flume helps you collect, aggregate, and move large amounts of log data reliably with a flexible, fault-tolerant streaming architecture.
Move and manage large volumes of log data easily
Apache Flume is designed for anyone who needs to collect and move large amounts of log data efficiently. With its robust and distributed architecture, you can reliably stream, aggregate, and transport data from many sources to your chosen destinations—all while ensuring fault tolerance and flexibility.
The platform uses a simple, extensible data model that makes it easy to adapt to your specific needs, whether you're handling real-time analytics or just need a reliable way to get your logs from point A to point B. Flume is especially useful for organizations managing big data pipelines or seeking to simplify log management across complex systems.
From its straightforward setup to its many failover and recovery features, Apache Flume gives you the tools to keep your data flowing smoothly—even if something goes wrong. Whether you're a developer, data engineer, or system administrator, Flume offers a reliable solution for scalable log collection and transfer.
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Apache Beam lets you build and run unified data processing pipelines for both batch and streaming data, supporting multiple programming languages and cloud platforms.
Apache NiFi lets you automate, process, and move data between systems with an easy-to-use interface for building secure and reliable data pipelines.
Apache Storm lets you process unbounded streams of data in real time. It's open source, supports any programming language, and is free to use.
Apache Beam lets you build and run large-scale data pipelines for batch and streaming processing across multiple platforms using one unified programming model.
Apache Airflow lets you build, schedule, and monitor workflows. Easily automate complex processes and manage data pipelines at scale.
Apache Tez is an open-source framework for building complex data processing workflows on Hadoop, enabling efficient and flexible data pipelines.
Worldwide Flume.apache.org Alternatives
Move data from over 140 sources to your database or warehouse in minutes with Stitch—no coding needed, fully automated, and cloud-based.
Astronomer is a cloud platform for building, running, and monitoring data pipelines with Apache Airflow, making data workflows simple and reliable.
Sematext offers real-time IT system monitoring and log management tools, helping DevOps teams keep their infrastructure running smoothly around the clock.
Rivery is a cloud-based platform for automating, integrating, and managing data pipelines, making it easy to move and transform data across systems.
Lumigo helps developers monitor, troubleshoot, and optimize microservices with AI-powered observability, distributed tracing, and unified logs and metrics.
Logflare helps you collect, view, and manage logs from Cloudflare, Vercel, and Elixir apps in one place, making monitoring and troubleshooting simple.
Papertrail lets you collect, search, and manage logs from apps, servers, and cloud services in one place for easy troubleshooting and monitoring.
PGSync lets you sync data from Postgres to Elasticsearch or OpenSearch, making it easy to keep your databases connected and up to date.
Integrate.io lets you build and manage low-code data pipelines to unify, transform, and sync data across sources for analytics and business insights.
Snowplow helps organizations collect, manage, and use customer behavioral data to power AI, analytics, marketing, and digital experiences.
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